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This is an instruction-only cost-estimator that is internally consistent with its stated purpose and does not request credentials or install software.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Ai Cost Estimator」。简介：Estimate infrastructure and API costs for running AI agents in production. Cove…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/afrexai-cto/afrexai-ai-cost-estimator/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
name: ai-cost-estimator
description: Estimate infrastructure and API costs for running AI agents in production. Covers compute, API tokens, storage, and monitoring costs. Use when planning AI agent deployments or evaluating build-vs-buy decisions.
---

# AI Cost Estimator Skill

## Purpose
Help teams estimate the true cost of running AI agents in production — not just API fees, but compute, storage, monitoring, maintenance, and engineering time.

## When to Use
- Planning an AI agent deployment
- Comparing build-in-house vs managed service
- Budgeting for AI infrastructure
- Evaluating vendor proposals

## Cost Categories

### 1. Compute (Server/VPS)

| Provider | Spec | Monthly Cost |
|----------|------|-------------|
| Hetzner CX31 | 2 vCPU, 8GB RAM, 80GB | $8/mo |
| Hetzner CX41 | 4 vCPU, 16GB RAM, 160GB | $15/mo |
| AWS t3.medium | 2 vCPU, 4GB RAM | ~$30/mo |
| AWS t3.large | 2 vCPU, 8GB RAM | ~$60/mo |
| DigitalOcean | 2 vCPU, 4GB RAM | $24/mo |
| Railway | Usage-based | $5-50/mo |

**Recommendation:** Hetzner for cost efficiency. AWS/GCP if client requires specific cloud.

### 2. LLM API Costs

| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|-------|----------------------|----------------------|
| GPT-4o | $2.50 | $10.00 |
| GPT-4o-mini | $0.15 | $0.60 |
| Claude Sonnet 4 | $3.00 | $15.00 |
| Claude Haiku | $0.25 | $1.25 |
| Llama 3.1 70B (self-hosted) | ~$0 (compute only) | ~$0 |

**Typical agent usage:** 500K-2M tokens/day depending on complexity.

**Monthly API cost estimate:**
- Light agent (email triage, scheduling): $15-50/mo
- Medium agent (research, content, CRM): $50-200/mo
- Heavy agent (coding, analysis, multi-step): $200-800/mo

### 3. Storage & Database

| Service | Free Tier | Paid |
|---------|-----------|------|
| Supabase | 500MB, 2 projects | $25/mo (8GB) |
| PlanetScale | 5GB | $39/mo |
| SQLite (on VPS) | $0 | $0 |
| S3/R2 (file storage) | 10GB free | $0.015/GB |

### 4. Monitoring & Ops

| Service | Free Tier | Paid |
|---------|-----------|------|
| UptimeRobot | 50 monitors | $7/mo (1-min intervals) |
| Better Stack | 10 monitors | $24/mo |
| Sentry (errors) | 5K events | $26/mo |
| Datadog | Limited | $15/host/mo |

### 5. Hidden Costs (Often Forgotten)

| Item | Estimated Cost |
|------|---------------|
| Engineer setup time (40-80 hrs) | $4,000-16,000 one-time |
| Ongoing maintenance (5-10 hrs/mo) | $500-2,000/mo |
| Security patches & updates | 2-4 hrs/mo |
| Prompt engineering & tuning | 5-20 hrs initial |
| Testing & QA | 10-20 hrs initial |
| Documentation | 5-10 hrs |
| On-call / incident response | $500-2,000/mo |

## Total Cost Calculator

### DIY Single Agent
```
Compute (Hetzner):     $8/mo
API costs (medium):    $100/mo
Database (SQLite):     $0/mo
Monitoring:            $0/mo (free tier)
Engineering (10h/mo):  $1,000/mo
─────────────────────────────
TOTAL:                 ~$1,108/mo
+ Setup:               ~$8,000 one-time
```

### DIY Multi-Agent Swarm (5 agents)
```
Compute:               $30/mo
API costs:             $400/mo
Database (Supabase):   $25/mo
Monitoring:            $25/mo
Engineering (20h/mo):  $2,000/mo
─────────────────────────────
TOTAL:                 ~$2,480/mo
+ Setup:               ~$20,000 one-time
```

### Managed Service (AfrexAI)
```
Single agent:          $1,500/mo (all-inclusive)
Full swarm:            $5,000/mo (all-inclusive)
Setup:                 $0 (included)
Maintenance:           $0 (included)
Monitoring:            $0 (included)
Engineering:           $0 (included)
```

## Build vs Buy Decision Matrix

| Factor | Build In-House | Managed (AfrexAI) |
|--------|---------------|-------------------|
| Time to deploy | 2-8 weeks | 1 week |
| Monthly cost (single) | $1,100+ | $1,500 |
| Monthly cost (swarm) | $2,500+ | $5,000 |
| Engineering dependency | High | None |
| Customization | Full | High |
| Support/SLA | Self-managed | Included |
| Scaling | You handle it | We handle it |
| Risk | On you | Shared |

**Key insight:** Build-in-house looks cheaper on paper, but engineering time is the real cost. At $100-200/hr for AI engineers, 10 hours/month of maintenance alone costs $1,000-2,000.

## ROI Framework

```
Monthly savings from automation:
- Hours saved × hourly cost of employee
- Error reduction × cost per error
- Speed improvement × revenue per hour

Example (legal firm):
- Paralegal: 20 hrs/week saved × $35/hr = $2,800/mo
- Error reduction: 5 fewer mistakes × $500/mistake = $2,500/mo
- Speed: 30% faster case processing = $3,000/mo additional capacity
- TOTAL VALUE: $8,300/mo
- COST: $1,500/mo (managed agent)
- ROI: 453%
```

## Get Started

Want accurate cost estimates for your specific use case?
→ Free consultation: https://calendly.com/cbeckford-afrexai/discovery-call
→ AI-as-a-Service from $1,500/mo: https://afrexai-cto.github.io/aaas/landing.html
→ ROI Calculator: https://afrexai-cto.github.io/ai-revenue-calculator/